A Player Detection and Tracking Approach in Badminton Courts

• Main Authors: Jie-Min Chang, 張傑閔
• Other Authors: 張厥煒
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/7mjt7x

碩士 === 國立臺北科技大學 === 資訊工程系所 === 94 === This work aims to track object and construct trajectory automatically, from a single fixed camera. First, we process the first frame of inputted video with Canny edge detector and Hough transformation to find the position of ROI area. We use the ROA area to find out the dominant color. Then target objects are segmented with the dominant color and object motion information. The eight parameters of perspective transformation are also calculated by the border of ROI area. The object tracking task is done by the Mean Shift – Particle Filter approach. The result object trajectory is converted from camera coordinate to world coordinate by perspective transformation, and then store in database. The system also provides interface to user to query the trajectories constructed. The object trajectories can be applied to several applications in different area, such as Video Database, Surveillance System, Military System. In the sport science area, players trajectories can be used for tactics analysis or players training.